- Classification Algorithms
- Deep Learning
- Model Evaluation
- Keras (Neural Network Library)
- Image Analysis
- Applied Machine Learning
- Convolutional Neural Networks
- Tensorflow
- Machine Learning
- Computer Vision
- Data Preprocessing
- Transfer Learning
Convolutional Neural Networks in TensorFlow
Completed by Mohamed Magdy Tarrad
October 1, 2021
16 hours (approximately)
Mohamed Magdy Tarrad's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
